Journal of Hazardous Materials,
Journal Year:
2024,
Volume and Issue:
475, P. 134853 - 134853
Published: June 7, 2024
Passive
samplers
are
key
tools
to
sample
hydrophilic
micropollutants
in
water.
Two
main
approaches
address
the
influence
of
hydrodynamics:
(1)
determining
site-specific
sampling
rate
(RS)
by
characterizing
kw,
mass
transfer
coefficient
water-boundary
layer
(WBL),
and
(2)
reducing
WBL
impact
using
a
diffusive
material
control
uptake.
The
first
requires
calibration
data
second
has
only
been
achieved
fragile
material.
This
study
assesses
contaminants
through
polytetrafluoroethylene
(PTFE;
30
µm
thick),
new
membrane
with
lower
sorption
than
commonly
used
polyethersulfone
(PES).
Combined
for
time
Chemcatcher-like
configuration,
we
calibrated
modified
44
provide
RS
–
kw
relationships
in-situ
determination
(approach
1).
Micropollutants
accumulated
over
2000
times
more
on
sorbent
PTFE.
PTFE-based
(0.027
0.300
L
day-1)
were
2.5
higher
previously
reported
PES.
Membrane
property
measurements
(porosity,
tortuosity)
indicated
that
accumulation
is
primarily
controlled
membrane.
Extrapolation
thicker
PTFE
membranes
(≥
100
µm)
would
shift
uptake
entirely
river
conditions
2).
finding
could
enable
prediction
based
properties,
thus
representing
significant
advancement
passive
sampling.
ACS ES&T Water,
Journal Year:
2024,
Volume and Issue:
4(5), P. 2247 - 2258
Published: April 10, 2024
The
escalating
environmental
impact
of
rare
earth
elements
(REEs)
in
freshwater
ecosystems,
exemplified
by
Hongze
Lake's
increasing
pollution
levels
from
sediment-bound
nutrients
and
REEs
due
to
human
activities,
necessitates
a
comprehensive
study.
Our
objectives
are
unravel
the
spatial
distribution
patterns
surface
sediments
assess
their
combined
toxicity
effects
on
aquatic
biota,
aiming
fill
critical
gap
understanding
ecological
toxicological
risks
associated
with
these
contaminants.
This
study
employed
diffusive
gradients
thin
films
(DGT)
technique
analyze
China's
Lake
for
REEs.
Significant
fluctuations
were
observed
concentrations
phosphate
(PO4–P),
nitrate
(NO3–N),
ammonium
(NH4–N),
some
exceeding
predicted
no
effect
(PNEC)
organisms.
Correlation
analysis
suggested
complex
interrelationships
among
elements,
indicating
potential
common
sources.
Factor
condensed
16
variables
into
4
factors,
unveiling
distinct
lake.
Additionally,
probabilistic
ecotoxicological
risk
assessment,
integrating
DGT-labile
data,
revealed
1.26%
probability
inducing
toxic
biota.
These
findings
provide
specific
numerical
insights
sources
within
ecosystem.
results
offer
valuable
information
current
future
lake
management
conservation
efforts.
